Windsor MCP Server

Overview of the Windsor MCP Server

Windsor MCP (Model Context Protocol) addresses a common pain point for data‑driven teams: accessing and querying complex, multi‑source business data without writing SQL or building custom integrations. By exposing a single, unified API that adheres to Anthropic’s open MCP specification, Windsor allows AI assistants such as Claude, Perplexity, or Cursor to pull real‑time insights directly from a customer’s full‑stack marketing and sales ecosystem. This eliminates the friction of data wrangling, enabling analysts, marketers, and product managers to ask questions in natural language and receive structured answers instantly within their preferred chat interface.

The server’s core value lies in its seamless integration with over 325 data sources, including major platforms like Facebook Ads, GA4, HubSpot, Salesforce, Shopify, and TikTok Ads. Each connector is pre‑built into Windsor.ai, so the MCP simply forwards queries to the underlying data layer and returns results in a standardized format. Developers benefit from zero‑code setup: the server can be added as an external connector in Claude Desktop or any MCP‑compatible client with just a URL and an API key. For advanced use cases, a lightweight proxy can be launched locally to provide additional flexibility or custom routing.

Key capabilities include natural‑language data access, real‑time analytics without SQL, and an open standard that guarantees compatibility across multiple AI platforms. Users can ask questions such as “What campaigns had the best ROAS last month?” or “Give me a breakdown of spend by channel over the past 90 days,” and receive concise, actionable summaries. Because queries are executed on live data, insights reflect the most current performance metrics, making Windsor ideal for rapid decision‑making during campaign launches or budget reviews.

In real‑world scenarios, Windsor MCP empowers marketing teams to conduct on‑the‑fly ROI analyses, sales pipelines monitoring, and customer journey mapping—all within the same chat window that hosts their AI assistant. Product managers can pull usage statistics from internal dashboards, while finance staff might extract spend reports without touching spreadsheets. By consolidating disparate data streams into a single conversational interface, Windsor reduces the cognitive load on users and speeds up the feedback loop from data to strategy.

Overall, Windsor MCP stands out as a plug‑and‑play solution that marries the power of AI conversation with comprehensive, real‑time business intelligence. Its zero‑code approach, extensive source coverage, and strict adherence to the MCP spec make it a compelling choice for developers looking to unlock actionable insights from their enterprise data without reinventing the wheel.